Data Science

caret

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function can be used to maximize the minimum dissimilarities?
sumDiss
minDiss
avgDiss
all of the mentioned
Explanation:
sumDiss can be used to maximize the total dissimilarities.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function tracks the changes in model statistics?
varImp
varImpTrack
findTrack
none of the mentioned
Explanation:
GCV change value can also be tracked.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
caret stands for classification and regression training.
True
False
Explanation:
The caret package is a set of functions that attempt to streamline the process for creating predictive models.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
Which of the following model model include a backwards elimination feature selection routine?
MCV
MARS
MCRS
All of the mentioned
Explanation:
MARS stands for Multivariate Adaptive Regression Splines.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function can be used to identify near zero-variance variables?
zeroVar
nearVar
nearZeroVar
all of the mentioned
Explanation:
The saveMetrics argument can be used to show the details and usually defaults to FALSE.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
Point out the wrong statement.
In every situation, the data generating mechanism can create predictors that only have a single unique value
Predictors might have only a handful of unique values that occur with very low frequencies
The function findLinearCombos uses the QR decomposition of a matrix to enumerate sets of linear combinations
All of the mentioned
Explanation:
In some situations, the data generating mechanism can create predictors that only have a single unique value.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
Point out the wrong statement.
The trapezoidal rule is used to compute the area under the ROC curve
For regression, the relationship between each predictor and the outcome is evaluated
An argument, para, is used to pick the model fitting technique
All of the mentioned
Explanation:
An argument, nonpara, is used to pick the model fitting technique.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
The function preProcess estimates the required parameters for each operation.
True
False
Explanation:
predict.preProcess is used to apply them to specific data sets.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function is used to generate the class distances?
preprocess.classDist
predict.classDist
predict.classDistance
all of the mentioned
Explanation:
By default, the distances are logged.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function is a wrapper for different lattice plots to visualize the data?
levelplot
featurePlot
plotsample
none of the mentioned
Explanation:
featurePlot is used for data visualization in caret.